
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
The role of demographics in online learning; A decision tree based approach
Saman Rizvi, Bart Rienties, Shakeel Khoja
Computers & Education (2019) Vol. 137, pp. 32-47
Closed Access | Times Cited: 182
Saman Rizvi, Bart Rienties, Shakeel Khoja
Computers & Education (2019) Vol. 137, pp. 32-47
Closed Access | Times Cited: 182
Showing 1-25 of 182 citing articles:
Predicting academic performance of students from VLE big data using deep learning models
Hajra Waheed, Saeed‐Ul Hassan, Naif Radi Aljohani, et al.
Computers in Human Behavior (2019) Vol. 104, pp. 106189-106189
Open Access | Times Cited: 417
Hajra Waheed, Saeed‐Ul Hassan, Naif Radi Aljohani, et al.
Computers in Human Behavior (2019) Vol. 104, pp. 106189-106189
Open Access | Times Cited: 417
Educational data mining: prediction of students' academic performance using machine learning algorithms
Mustafa Yağcı
Smart Learning Environments (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 340
Mustafa Yağcı
Smart Learning Environments (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 340
Student evaluation of online learning during the COVID-19 pandemic
Tomasz Szopiński, Katarzyna Bachnik
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121203-121203
Open Access | Times Cited: 122
Tomasz Szopiński, Katarzyna Bachnik
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121203-121203
Open Access | Times Cited: 122
Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, et al.
IEEE Access (2022) Vol. 10, pp. 72480-72503
Open Access | Times Cited: 77
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, et al.
IEEE Access (2022) Vol. 10, pp. 72480-72503
Open Access | Times Cited: 77
Decision tree learning through a Predictive Model for Student Academic Performance in Intelligent M-Learning environments
Vasiliki Matzavela, Efthimios Alepis
Computers and Education Artificial Intelligence (2021) Vol. 2, pp. 100035-100035
Open Access | Times Cited: 76
Vasiliki Matzavela, Efthimios Alepis
Computers and Education Artificial Intelligence (2021) Vol. 2, pp. 100035-100035
Open Access | Times Cited: 76
The role of gender, social class and ethnicity in participation and academic attainment in UK higher education: an update
John T. E. Richardson, Jenna Mittelmeier, Bart Rienties
Oxford Review of Education (2020) Vol. 46, Iss. 3, pp. 346-362
Open Access | Times Cited: 72
John T. E. Richardson, Jenna Mittelmeier, Bart Rienties
Oxford Review of Education (2020) Vol. 46, Iss. 3, pp. 346-362
Open Access | Times Cited: 72
The influence of COVID-19 related psychological and demographic variables on the effectiveness of e-learning among health care students in the southern region of Saudi Arabia
Sirajudeen Shaik Alavudeen, Vigneshwaran Easwaran, Javid Iqbal Mir, et al.
Saudi Pharmaceutical Journal (2021) Vol. 29, Iss. 7, pp. 775-780
Open Access | Times Cited: 68
Sirajudeen Shaik Alavudeen, Vigneshwaran Easwaran, Javid Iqbal Mir, et al.
Saudi Pharmaceutical Journal (2021) Vol. 29, Iss. 7, pp. 775-780
Open Access | Times Cited: 68
Prediction of Student Academic Performance Using a Hybrid 2D CNN Model
Sujan Poudyal, Mahnas Mohammadi-Aragh, John Ball
Electronics (2022) Vol. 11, Iss. 7, pp. 1005-1005
Open Access | Times Cited: 46
Sujan Poudyal, Mahnas Mohammadi-Aragh, John Ball
Electronics (2022) Vol. 11, Iss. 7, pp. 1005-1005
Open Access | Times Cited: 46
Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, et al.
Computer Applications in Engineering Education (2022) Vol. 31, Iss. 1, pp. 83-99
Open Access | Times Cited: 40
Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, et al.
Computer Applications in Engineering Education (2022) Vol. 31, Iss. 1, pp. 83-99
Open Access | Times Cited: 40
Online learning during the Covid-19 pandemic: How university students’ perceptions, engagement, and performance are related to their personal characteristics
Kai Kaspar, Kateryna Burtniak, Marco Rüth
Current Psychology (2023) Vol. 43, Iss. 18, pp. 16711-16730
Open Access | Times Cited: 24
Kai Kaspar, Kateryna Burtniak, Marco Rüth
Current Psychology (2023) Vol. 43, Iss. 18, pp. 16711-16730
Open Access | Times Cited: 24
Defining the Boundaries Between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence
Bart Rienties, Henrik Køhler Simonsen, Christothea Herodotou
Frontiers in Education (2020) Vol. 5
Open Access | Times Cited: 70
Bart Rienties, Henrik Køhler Simonsen, Christothea Herodotou
Frontiers in Education (2020) Vol. 5
Open Access | Times Cited: 70
Investigating variation in learning processes in a FutureLearn MOOC
Saman Rizvi, Bart Rienties, Jekaterina Rogaten, et al.
Journal of Computing in Higher Education (2019) Vol. 32, Iss. 1, pp. 162-181
Open Access | Times Cited: 66
Saman Rizvi, Bart Rienties, Jekaterina Rogaten, et al.
Journal of Computing in Higher Education (2019) Vol. 32, Iss. 1, pp. 162-181
Open Access | Times Cited: 66
Applying machine learning approach to predict students’ performance in higher educational institutions
Mohammed Nasiru Yakubu, A. Mohammed Abubakar
Kybernetes (2021) Vol. 51, Iss. 2, pp. 916-934
Closed Access | Times Cited: 55
Mohammed Nasiru Yakubu, A. Mohammed Abubakar
Kybernetes (2021) Vol. 51, Iss. 2, pp. 916-934
Closed Access | Times Cited: 55
Beyond one-size-fits-all in MOOCs: Variation in learning design and persistence of learners in different cultural and socioeconomic contexts
Saman Rizvi, Bart Rienties, Jekaterina Rogaten, et al.
Computers in Human Behavior (2021) Vol. 126, pp. 106973-106973
Open Access | Times Cited: 43
Saman Rizvi, Bart Rienties, Jekaterina Rogaten, et al.
Computers in Human Behavior (2021) Vol. 126, pp. 106973-106973
Open Access | Times Cited: 43
Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students
Irina Rets, Christothea Herodotou, Vaclav Bayer, et al.
International Journal of Educational Technology in Higher Education (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 42
Irina Rets, Christothea Herodotou, Vaclav Bayer, et al.
International Journal of Educational Technology in Higher Education (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 42
Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis
Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata
International Journal of Educational Technology in Higher Education (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 36
Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata
International Journal of Educational Technology in Higher Education (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 36
Building socially responsible conversational agents using big data to support online learning: A case with Algebra Nation
Chenglu Li, Wanli Xing, Walter L. Leite
British Journal of Educational Technology (2022) Vol. 53, Iss. 4, pp. 776-803
Closed Access | Times Cited: 34
Chenglu Li, Wanli Xing, Walter L. Leite
British Journal of Educational Technology (2022) Vol. 53, Iss. 4, pp. 776-803
Closed Access | Times Cited: 34
Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study
Andrew Zamecnik, Vitomir Kovanović, Srécko Joksimovíc, et al.
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100051-100051
Open Access | Times Cited: 32
Andrew Zamecnik, Vitomir Kovanović, Srécko Joksimovíc, et al.
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100051-100051
Open Access | Times Cited: 32
Is Learning Analytics the Future of Online Education?
Jolly Sahni
International Journal of Emerging Technologies in Learning (iJET) (2023) Vol. 18, Iss. 02, pp. 33-49
Open Access | Times Cited: 19
Jolly Sahni
International Journal of Emerging Technologies in Learning (iJET) (2023) Vol. 18, Iss. 02, pp. 33-49
Open Access | Times Cited: 19
Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 19
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 19
Transformer Encoder Model for Sequential Prediction of Student Performance Based on Their Log Activities
Sri Suning Kusumawardani, Syukron Abu Ishaq Alfarozi
IEEE Access (2023) Vol. 11, pp. 18960-18971
Open Access | Times Cited: 18
Sri Suning Kusumawardani, Syukron Abu Ishaq Alfarozi
IEEE Access (2023) Vol. 11, pp. 18960-18971
Open Access | Times Cited: 18
Exploring Software Infrastructures for Enhanced Learning Environments to Empowering Education
Ronald M. Hernández, Walter Antonio Campos-Ugaz, Segundo Juan Sánchez Tarrillo, et al.
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) Vol. 15, Iss. 1, pp. 231-243
Open Access | Times Cited: 8
Ronald M. Hernández, Walter Antonio Campos-Ugaz, Segundo Juan Sánchez Tarrillo, et al.
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) Vol. 15, Iss. 1, pp. 231-243
Open Access | Times Cited: 8
A flexible feature selection approach for predicting students’ academic performance in online courses
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 26
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 26
Using learning analytics to explore the multifaceted engagement in collaborative learning
Wanli Xing, Gaoxia Zhu, Okan Arslan, et al.
Journal of Computing in Higher Education (2022) Vol. 35, Iss. 3, pp. 633-662
Closed Access | Times Cited: 23
Wanli Xing, Gaoxia Zhu, Okan Arslan, et al.
Journal of Computing in Higher Education (2022) Vol. 35, Iss. 3, pp. 633-662
Closed Access | Times Cited: 23
Dig information of nanogenerators by machine learning
Jiuxu Zhang, Yang Yu, Le Zhang, et al.
Nano Energy (2023) Vol. 114, pp. 108656-108656
Closed Access | Times Cited: 16
Jiuxu Zhang, Yang Yu, Le Zhang, et al.
Nano Energy (2023) Vol. 114, pp. 108656-108656
Closed Access | Times Cited: 16